Change name to LSTM_pytorch

EMG_lstm.ipynb → LSTM_pytorch.ipynb

@@ -499,13 +499,6 @@
     "            print ('Epoch [{}/{}], Step [{}/{}], Loss: {:.4f}' \n",
     "                   .format(epoch+1, num_epochs, i+1, total_step, loss.item()))"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
   }
  ],
  "metadata": {
@@ -524,7 +517,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.5"
+   "version": "3.8.5"
   }
  },
  "nbformat": 4,

model_train.py

@@ -49,7 +49,7 @@
 time_steps = input_array.shape[1]
 n_features = input_array.shape[2]
 
-# code for building an LSTM with 100 neurons and dropout.
+# LSTM with 100 neurons and dropout.
 
 model = Sequential()
 model.add(LSTM(100, return_sequences=False, input_shape=(time_steps, n_features)))
@@ -82,6 +82,5 @@
 print(abnormal_onehot_encoded)
 
 # test on abnormal dataset
-
 score = model.evaluate(abnormal_input_array, abnormal_onehot_encoded, batch_size=16)
 print(score)

preprocess.py

@@ -29,50 +29,42 @@ def __init__(self, path):
         self.dataframe = pd.DataFrame(self.array, columns=['RF','BF','VM','ST','FX'])
 
     def return_array(self):
-
         return self.array
 
     def return_df(self):
-
         return self.dataframe
 
     def return_output(self):
         return self.output
 
     def plot_RF(self):
-
         plt.plot(self.dataframe['RF'])
         plt.title('RF - rectus femoris')
         plt.show()
 
     def plot_BF(self):
-
         plt.plot(self.dataframe['BF'])
         plt.title('BF - biceps femoris')
         plt.show()
 
     def plot_VM(self):
-
         plt.plot(self.dataframe['VM'])
         plt.title('VM - vastus internus')
         plt.show()
 
     def plot_ST(self):
-
         plt.plot(self.dataframe['ST'])
         plt.title('ST - semitendinosus')
         plt.show()
 
     def plot_FX(self):
-
         plt.plot(self.dataframe['FX'])
         plt.title('FX - knee flexion ()')
         plt.show()
 
     def sEMG_plot(self):
 
         # Plot individual sEMG data
-
         plt.plot(self.dataframe['RF'])
         plt.title('RF - rectus femoris')
         plt.show()
@@ -96,7 +88,6 @@ def sEMG_plot(self):
 # Preprocessing Function
 
 def preprocess(folder):
-
     input_array = []
     classes = []
 

requirements.txt

@@ -0,0 +1,95 @@
+absl-py==0.10.0
+appnope==0.1.0
+argon2-cffi==20.1.0
+astunparse==1.6.3
+async-generator==1.10
+attrs==20.2.0
+backcall==0.2.0
+bleach==3.1.5
+cachetools==4.1.1
+certifi==2020.6.20
+cffi==1.14.2
+chardet==3.0.4
+cycler==0.10.0
+decorator==4.4.2
+defusedxml==0.6.0
+entrypoints==0.3
+gast==0.3.3
+google-auth==1.21.1
+google-auth-oauthlib==0.4.1
+google-pasta==0.2.0
+grpcio==1.32.0
+h5py==2.10.0
+idna==2.10
+ipykernel==5.3.4
+ipython==7.18.1
+ipython-genutils==0.2.0
+jedi==0.17.2
+Jinja2==2.11.2
+joblib==0.16.0
+json5==0.9.5
+jsonschema==3.2.0
+jupyter-client==6.1.7
+jupyter-core==4.6.3
+jupyterlab==2.2.8
+jupyterlab-pygments==0.1.1
+jupyterlab-server==1.2.0
+Keras==2.4.3
+Keras-Preprocessing==1.1.2
+kiwisolver==1.2.0
+Markdown==3.2.2
+MarkupSafe==1.1.1
+matplotlib==3.3.1
+mistune==0.8.4
+nbclient==0.5.0
+nbconvert==6.0.2
+nbformat==5.0.7
+nest-asyncio==1.4.0
+notebook==6.1.4
+numpy==1.18.5
+oauthlib==3.1.0
+opt-einsum==3.3.0
+packaging==20.4
+pandas==1.1.2
+pandocfilters==1.4.2
+parso==0.7.1
+pexpect==4.8.0
+pickleshare==0.7.5
+Pillow==7.2.0
+prometheus-client==0.8.0
+prompt-toolkit==3.0.7
+protobuf==3.13.0
+ptyprocess==0.6.0
+pyasn1==0.4.8
+pyasn1-modules==0.2.8
+pycparser==2.20
+Pygments==2.7.0
+pyparsing==2.4.7
+pyrsistent==0.17.3
+python-dateutil==2.8.1
+pytz==2020.1
+PyYAML==5.3.1
+pyzmq==19.0.2
+requests==2.24.0
+requests-oauthlib==1.3.0
+rsa==4.6
+scikit-learn==0.23.2
+scipy==1.4.1
+Send2Trash==1.5.0
+six==1.15.0
+sklearn==0.0
+tensorboard==2.3.0
+tensorboard-plugin-wit==1.7.0
+tensorflow==2.3.0
+tensorflow-estimator==2.3.0
+termcolor==1.1.0
+terminado==0.8.3
+testpath==0.4.4
+threadpoolctl==2.1.0
+tornado==6.0.4
+traitlets==5.0.4
+urllib3==1.25.10
+wcwidth==0.2.5
+webencodings==0.5.1
+Werkzeug==1.0.1
+wrapt==1.12.1